The Statistical Physics of Data Assimilation and Machine Learning (Hardcover)

Language: English

Published by Cambridge University Press, Cambridge, 2022

1316519635 / 9781316519639

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Hardcover. Data assimilation is a hugely important mathematical technique, relevant in fields as diverse as geophysics, data science, and neuroscience. This modern book provides an authoritative treatment of the field as it relates to several scientific disciplines, with a particular emphasis on recent developments from machine learning and its role in the optimisation of data assimilation. Underlying theory from statistical physics, such as path integrals and Monte Carlo methods, are developed in the text as a basis for data assimilation, and the author then explores examples from current multidisciplinary research such as the modelling of shallow water systems, ocean dynamics, and neuronal dynamics in the avian brain. The theory of data assimilation and machine learning is introduced in an accessible and unified manner, and the book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics. The theory of data assimilation and machine learning is introduced in an accessible and pedagogical manner, with a focus on the underlying statistical physics. This modern and cross-disciplinary book is suitable for undergraduate and graduate students from science and engineering without specialized experience of statistical physics. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…

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Title
The Statistical Physics of Data Assimilation and Machine Learning (Hardcover)
Author
Henry D.I. Abarbanel
Publisher
Cambridge University Press, Cambridge
Publication year
2022
Condition
new
Binding
Hardcover
Language
English
ISBN 10
1316519635
ISBN 13
9781316519639

CitiRetail

Stevenage, United Kingdom

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AbeBooks seller since June 29, 2022

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